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# TF Lite Android App Example
## Building from Source with Bazel
1. Install [Bazel](https://docs.bazel.build/versions/master/install.html), the Android NDK and SDK. The recommended versions are specified on this [webpage](https://www.tensorflow.org/mobile/tflite/demo_android#build_tensorflow_lite_and_the_demo_app_from_source).
2. Build this demo app with Bazel. The demo needs C++11. We configure the fat_apk_cpu flag to package support for 4 hardware variants. You may replace it with --config=android_arm64 on a 64-bit device and --config=android_arm for 32-bit device:
```shell
bazel build -c opt --cxxopt='--std=c++11' --fat_apk_cpu=x86,x86_64,arm64-v8a,armeabi-v7a \
//tensorflow/contrib/lite/examples/android:tflite_demo
```
3. Install the demo on a
[debug-enabled device](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/android#install):
```shell
adb install bazel-bin/tensorflow/contrib/lite/examples/android/tflite_demo.apk
```
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